期刊論文
| 學年 | 92 |
|---|---|
| 學期 | 2 |
| 出版（發表）日期 | 2004-04-01 |
| 作品名稱 | A personalized recommender system for the cosmetic business |
| 作品名稱（其他語言） | |
| 著者 | Wang, Yi-fan; Chuang, Yu-liang; Hsu; Mei-hua; 葛煥昭; Keh, Huan-chao |
| 單位 | 淡江大學資訊工程學系 |
| 出版者 | Elsevier |
| 著錄名稱、卷期、頁數 | Expert Systems with Applications 26(3), pp.427-434 |
| 摘要 | In order to have an effective command of the relationship between customers and products, we have constructed a personalized recommender system which incorporates content-based, collaborative filtering, and data mining techniques. We have also introduced a new scoring approach to determine customers' interest scores on products. To demonstrate how our system works, we used it to analyze real cosmetic data and generate a recommender score table for sellers to refer to. After tracking its performance for 1 year, we have obtained quite impressive results. |
| 關鍵字 | Data mining;Association rules;Clustering;Recommender system |
| 語言 | en |
| ISSN | 0957-4174 |
| 期刊性質 | 國外 |
| 收錄於 | |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 否 |
| 國別 | GBR |
| 公開徵稿 | |
| 出版型式 | ,紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/45515 ) |